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Dataset Information

Treatment Approaches and Outcome of Patients with Neuroendocrine Neoplasia Grade 3 in German Real-World Clinical Practice.


ABSTRACT:

Background

Neuroendocrine neoplasia grade 3 (NEN G3) represents a rare and heterogeneous cancer type with a poor prognosis. The aim of our study was to analyze real-world data from the German NET Registry with a focus on therapeutic and prognostic aspects.

Methods

NEN G3 patients were identified within the German NET Registry. Demographic data and data on treatments and outcomes were retrieved. Univariate analyses were performed using the Kaplan-Meier-method. Multivariate analysis was performed using a Cox proportional hazard model.

Results

Of 445 included patients, 318 (71.5%) were diagnosed at stage IV. Well-differentiated morphology (NET G3) was described in 31.7%, 60% of cases were classified as neuroendocrine carcinoma (NEC), and the median Ki67 value was 50%. Fi

SUBMITTER: Luecke S 

PROVIDER: S-EPMC9179270 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature